Triple

T582159
Position Surface form Disambiguated ID Type / Status
Subject Ten Days of Repentance E15080 entity
Predicate moralFocus P3363 FINISHED
Object self-examination LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: self-examination | Statement: [Ten Days of Repentance, moralFocus, self-examination]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: moralFocus
Context triple: [Ten Days of Repentance, moralFocus, self-examination]
  • A. virtue
    Indicates that an entity possesses or exemplifies a morally good quality, trait, or behavior.
  • B. ethicalDebate
    Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
  • C. positionOnEthics
    Indicates a stance, viewpoint, or opinion that an entity holds regarding ethical principles, issues, or practices.
  • D. viewsAsVirtue
    Indicates that one entity regards a particular trait, behavior, or quality as a moral virtue.
  • E. ethos chosen
    Indicates the characteristic spirit, values, or guiding beliefs that define how an individual, group, or organization thinks and behaves.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
PD Predicate disambiguation batch_69a494c7f9008190bd8d05b4dc2a7c7f completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:33 p.m.